In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists. At the core of data literacy is the ability to detect patterns and trends, or identify outliers and anomalies from data. However, these requirements often rely on visualisations, which creates a severe accessibility issue for blind people.
Research projects in Information Technology
This research project is part of a DECRA fellowship funded by the Australian Research Council for a project titled, Everyday Insurtech: Impacts of Emerging Technology for Insurance. The fellowship will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement of policy conditions.
Water is a resource we usually take for granted. But providing a reliable, safe supply any time you open the tap poses significant logistical challenges. Modern water supply networks use smart meters, embedded sensor devices and complex algorithms to ensure a safe, reliable and affordable product. This project aims to develop novel algorithmic techniques for the optimal deployment of smart sensor networks based on a combination of machine learning and combinatorial optimisation methods.
Human bias, which refers to the differentiative notions, mindsets, and stereotypes that we may preconceive towards different groups of people, has been witnessed in a variety of settings in our daily life, including in teaching and learning. It has been reported that even the most experienced and well-intended teachers may hold biases that they are not aware of towards students. What is worse, such biases often affect teachers’ subsequent interaction with students, and further exacerbate the achievement gaps between different groups of students.
Education, undoubtedly, is one of the most fundamental means for people to gain personal and professional development. Given its importance, both researchers and practitioners have endeavored to apply various technologies to construct numerous educational systems and tools to facilitate teaching and learning in the past decades. However, it has been widely demonstrated that such systems and tools tend to display bias to certain groups of students.
A PhD scholarship is available as part of an exciting research collaboration between the Faculty of Information Technology (FIT), the Faculty of Medicine, Nursing and Health Sciences (MNHS) and indigenous communities in rural Victoria.
Timely access to information is essential to perform many economic and social activities. In today’s digital age, information is more and more often provided in digital form. However, the unreliability of Internet access can make it difficult for people living in rural areas to access information online, resulting in missed opportunities to pursue economic and social ventures.
The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information that is vital to their lives, such as information on their entitlements, public services, health, education or work opportunities. Timely access to information is essential to perform many economic, social and leisure activities. In today’s digital age, information is more and more often provided in digital form.
Collaborative problem-solving (CPS) has widely been recognised as an essential skill for success in the 21st century. Because of this, many researchers have focused on trying to better understand CPS in efforts to find out when it is effective, when it is not, and how to make it a teachable skill.
Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act as a black box. Without rigorous validation and verification, intelligent solutions are error-prone especially when deployed in the real world environment. To monitor, identify, mitigate and fix these defects becomes extremely important to ensure their service quality and user experience.